SOTAVerified

Autonomous Vehicles

Autonomous vehicles is the task of making a vehicle that can guide itself without human conduction.

Many of the state-of-the-art results can be found at more general task pages such as 3D Object Detection and Semantic Segmentation.

( Image credit: GSNet: Joint Vehicle Pose and Shape Reconstruction with Geometrical and Scene-aware Supervision )

Papers

Showing 101110 of 2605 papers

TitleStatusHype
SemanticSpray++: A Multimodal Dataset for Autonomous Driving in Wet Surface ConditionsCode1
Real-Time Environment Condition Classification for Autonomous VehiclesCode1
Uncertainty-Aware DRL for Autonomous Vehicle Crowd Navigation in Shared SpaceCode1
AnoVox: A Benchmark for Multimodal Anomaly Detection in Autonomous DrivingCode1
SemVecNet: Generalizable Vector Map Generation for Arbitrary Sensor ConfigurationsCode1
Multi-Stream Cellular Test-Time Adaptation of Real-Time Models Evolving in Dynamic EnvironmentsCode1
Not All Voxels Are Equal: Hardness-Aware Semantic Scene Completion with Self-DistillationCode1
Enhancing Safety in Mixed Traffic: Learning-Based Modeling and Efficient Control of Autonomous and Human-Driven VehiclesCode1
The Radar Ghost Dataset -- An Evaluation of Ghost Objects in Automotive Radar DataCode1
Human-compatible driving partners through data-regularized self-play reinforcement learningCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1BAAMA3DP22.85Unverified
2GSNetA3DP20.21Unverified